177 citations · 2.3k across the 105 of their papers we have counts for
19 papers · 1 filter
SkimROOT: Accelerating LHC Data Filtering with Near-Storage Processing
Narangerelt Batsoyol, Jonathan Guiang, Diego Davila +4
Data analysis in high-energy physics (HEP) begins with data reduction, where vast datasets are filtered to extract relevant events. At the Large Hadron Collider (LHC), this process…
CRIU -- Checkpoint Restore in Userspace for computational simulations and scientific applications
Fabio Andrijauskas, Igor Sfiligoi, Diego Davila +5
Creating new materials, discovering new drugs, and simulating systems are essential processes for research and innovation and require substantial computational power. While many ap…
Demand-driven provisioning of Kubernetes-like resources in OSG
Igor Sfiligoi, Frank Würthwein, Jeff Dost +2
The OSG-operated Open Science Pool is an HTCondor-based virtual cluster that aggregates resources from compute clusters provided by several organizations. Most of the resources are…
Comparing single-node and multi-node performance of an important fusion HPC code benchmark
Emily A. Belli, Jeff Candy, Igor Sfiligoi +1
Fusion simulations have traditionally required the use of leadership scale High Performance Computing (HPC) resources in order to produce advances in physics. The impressive improv…
The anachronism of whole-GPU accounting
Igor Sfiligoi, David Schultz, Frank Würthwein +2
NVIDIA has been making steady progress in increasing the compute performance of its GPUs, resulting in order of magnitude compute throughput improvements over the years. With sever…
Studying Scientific Data Lifecycle in On-demand Distributed Storage Caches
Julian Bellavita, Alex Sim, Kesheng Wu +4
The XRootD system is used to transfer, store, and cache large datasets from high-energy physics (HEP). In this study we focus on its capability as distributed on-demand storage cac…
Auto-scaling HTCondor pools using Kubernetes compute resources
Igor Sfiligoi, Thomas DeFanti, Frank Würthwein
HTCondor has been very successful in managing globally distributed, pleasantly parallel scientific workloads, especially as part of the Open Science Grid. HTCondor system design ma…
Data intensive physics analysis in Azure cloud
Igor Sfiligoi, Frank Würthwein, Diego Davila
The Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider (LHC) is one of the largest data producers in the scientific world, with standard data products centrally pr…
Expanding IceCube GPU computing into the Clouds
Igor Sfiligoi, Shava Smallen, Frank Würthwein +3
The IceCube collaboration relies on GPU compute for many of its needs, including ray tracing simulation and machine learning activities. GPUs are however still a relatively scarce…
HTCondor data movement at 100 Gbps
Igor Sfiligoi, Frank Würthwein, Thomas DeFanti +1
HTCondor is a major workload management system used in distributed high throughput computing (dHTC) environments, e.g., the Open Science Grid. One of the distinguishing features of…
Systematic benchmarking of HTTPS third party copy on 100Gbps links using XRootD
Edgar Fajardo, Aashay Arora, Diego Davila +3
The High Luminosity Large Hadron Collider provides a data challenge. The amount of data recorded from the experiments and transported to hundreds of sites will see a thirty fold in…
Adapting LIGO workflows to run in the Open Science Grid
Edgar Fajardo, Frank Wuerthwein, Brian Bockelman +5
During the first observation run the LIGO collaboration needed to offload some of its most, intense CPU workflows from its dedicated computing sites to opportunistic resources. Ope…
Creating a content delivery network for general science on the internet backbone using XCaches
Edgar Fajardo, Marian Zvada, Derek Weitzel +9
A general problem faced by computing on the grid for opportunistic users is that delivering cycles is simpler than delivering data to those cycles. In this project we show how we i…
The Scalable Systems Laboratory: a Platform for Software Innovation for HEP
Robert Gardner, Lincoln Bryant, Mark Neubauer +3
The Scalable Systems Laboratory (SSL), part of the IRIS-HEP Software Institute, provides Institute participants and HEP software developers generally with a means to transition the…
Moving the California distributed CMS xcache from bare metal into containers using Kubernetes
Edgar Fajardo, Matevz Tadel, Justas Balcas +5
The University of California system has excellent networking between all of its campuses as well as a number of other Universities in CA, including Caltech, most of them being conn…
Running a Pre-Exascale, Geographically Distributed, Multi-Cloud Scientific Simulation
Igor Sfiligoi, Frank Wuerthwein, Benedikt Riedel +1
As we approach the Exascale era, it is important to verify that the existing frameworks and tools will still work at that scale. Moreover, public Cloud computing has been emerging…
Data Access for LIGO on the OSG
Derek Weitzel, Brian Bockelman, Duncan A. Brown +3
During 2015 and 2016, the Laser Interferometer Gravitational-Wave Observatory (LIGO) conducted a three-month observing campaign. These observations delivered the first direct detec…
Designing Computing System Architecture and Models for the HL-LHC era
Lothar Bauerdick, Brian Bockelman, Peter Elmer +3
This paper describes a programme to study the computing model in CMS after the next long shutdown near the end of the decade.
Management of Grid Jobs and Information within SAMGrid
A. Baranovski, G. Garzoglio, A. Kreymer +11
We describe some of the key aspects of the SAMGrid system, used by the D0 and CDF experiments at Fermilab. Having sustained success of the data handling part of SAMGrid, we have de…